Fast and Layout-Oblivious Tensor-Matrix Multiplication with BLAS
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63749-0_18
Reference19 articles.
1. Bader, B.W., Kolda, T.G.: Algorithm 862: MATLAB tensor classes for fast algorithm prototyping. ACM Trans. Math. Softw. 32(4), 635–653 (2006). https://doi.org/10.1145/1186785.1186794
2. Bassoy, C.: Design of a high-performance tensor-vector multiplication with BLAS. In: Rodrigues, J., et al. (eds.) Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019, Proceedings, Part I, pp. 32–45. Springer International Publishing, Cham (2019). https://doi.org/10.1007/978-3-030-22734-0_3
3. Bassoy, C., Schatz, V.: Fast higher-order functions for tensor calculus with tensors and subtensors. In: Shi, Y., Fu, H., Tian, Y., Krzhizhanovskaya, V.V., Lees, M.H., Dongarra, J., Sloot, P.M.A. (eds.) Computational Science – ICCS 2018: 18th International Conference, Wuxi, China, June 11–13, 2018, Proceedings, Part I, pp. 639–652. Springer International Publishing, Cham (2018). https://doi.org/10.1007/978-3-319-93698-7_49
4. Cohen, J., Bassoy, C., Mitchell, L.: Ttv in tensorly. Tensor Computations: Applications and Optimization, p. 11 (2022)
5. Dongarra, J., Hammarling, S., Higham, N.J., Relton, S.D., Valero-Lara, P., Zounon, M.: The design and performance of batched blas on modern high-performance computing systems. Proc. Comput. Sci. 108, 495–504 (2017)
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